Cecil Lynch

Patient-centered applications: use of information technology to promote disease management and wellness. A white paper by the AMIA knowledge in motion working group

Advances in information technology (IT) enable a fundamental redesign of health care processes based on the use and integration of electronic communication at all levels. New communication technologies can support a transition from institution centric to patient-centric applications. This white paper defines key principles and challenges for designers, policy makers, and evaluators of patient-centered technologies for disease management and prevention. It reviews current and emerging trends; highlights challenges related to design, evaluation, reimbursement and usability; and reaches conclusions for next steps that will advance the domain.

West Nile Virus and Botulism Portal: A Case Study in Infectious Disease Informatics

Information technologies and infectious disease informatics are playing an increasingly important role in preventing, detecting, and managing infectious disease outbreaks. This paper presents a collaborative infectious disease informatics project called the WNV-BOT Portal system. This Portal system provides integrated, Web-enabled access to a variety of distributed data sources related to West Nile Virus and Botulism. It also makes available a preliminary set of data analysis and visualization tools tailored for these two diseases. This system has helped to demonstrate the technological feasibility of developing a cross jurisdiction and cross species infectious disease information infrastructure and identify related technical and policy-related challenges with its national implementation.

Intelligence and Security Informatics: Biosurveillance

Long Papers.- Early Outbreak Detection Using an Automated Data Feed of Test Orders from a Veterinary Diagnostic Laboratory.- Chinese Chief Complaint Classification for Syndromic Surveillance.- Incorporating Geographical Contacts into Social Network Analysis for Contact Tracing in Epidemiology: A Study on Taiwan SARS Data.- A Model for Characterizing Annual Flu Cases.- Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems.- Data Classification for Selection of Temporal Alerting Methods for Biosurveillance.- High Performance Computing for Disease Surveillance.- Towards Real Time Epidemiology: Data Assimilation, Modeling and Anomaly Detection of Health Surveillance Data Streams.- Algorithm Combination for Improved Performance in Biosurveillance Systems.- Decoupling Temporal Aberration Detection Algorithms for Enhanced Biosurveillance.- Assessing Seasonal Variation in Multisource Surveillance Data: Annual Harmonic Regression.- A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data.- A Web-Based System for Infectious Disease Data Integration and Sharing: Evaluating Outcome, Task Performance Efficiency, User Information Satisfaction, and Usability.- Public Health Affinity Domain: A Standards-Based Surveillance System Solution.- The Influenza Data Summary: A Prototype Application for Visualizing National Influenza Activity.- Global Foot-and-Mouth Disease Surveillance Using BioPortal.- Utilization of Predictive Mathematical Epidemiological Modeling in Crisis Preparedness Exercises.- Short Papers.- Ambulatory e-Prescribing: Evaluating a Novel Surveillance Data Source.- Detecting the Start of the Flu Season.- Syndromic Surveillance for Early Detection of Nosocomial Outbreaks.- A Bayesian Biosurveillance Method That Models Unknown Outbreak Diseases.- Spatial Epidemic Patterns Recognition Using Computer Algebra.- Detecting Conserved RNA Secondary Structures in Viral Genomes: The RADAR Approach.- Extended Abstracts.- Gemina: A Web-Based Epidemiology and Genomic Metadata System Designed to Identify Infectious Agents.- Internet APRS Data Utilization for Biosurveillance Applications.

BioPortal: a case study in infectious disease informatics

We present the BioPortal system, an integrated cross-jurisdictional data sharing and analysis environment to facilitate detection, prevention, and management of infectious disease outbreaks